"I liked its humorous approach, which indeed helps to reduce statistical anxiety. The design of the book is inviting and relaxing, which is a plus. The writing style is great and the presentation is appropriate for my students. A fun and well-written book, it is easy to read and use, and presents statistics in a user-friendly way. . . . I would recommend it for sure."

--Dr. Minjuan Wang, Assistant Professor of Educational Technology, San Diego State University

"Salkind's book is in a class by itself. It is easily the best book of its kind that I have come across. I enthusiastically recommend it for any one interested in the subject, and even (and especially) for those who aren't!"

--Professor Russ Shafer-Landau, University of Wisconsin

"Statistics for People Who (Think They) Hate Statistics really makes students learn and enjoy statistics and research in general. Students especially like the Ten Commandments and Internet sites."

--Professor Valerie Janesick, School of Education, Roosevelt University

"Statistics for People Who (Think They) Hate Statistics is definitely the right book for people who have to overcome that familiar anxious feeling when opening a standard statistics book and who having finally managed to do so are still not able to make much sense of it all. The book by Salkind is easy and pleasant to read and one that hardly needs any pre-knowledge of the field to be able to follow the author's train of thoughts. Salkind has managed to bring statistics home to people who hate statistics, or thought they did."

Chapter 8: Significantly Significant: What it Means for You and Me Chapter 9: t(ea) for Two: Tests Between the Means of Different Groups Chapter 10: t(ea) for Two (Again): Tests Between the Means of Related Groups Chapter 11: Two Groups Too Many? Try Analysis of Variance Chapter 12: Two Too Many Factors: Factorial Analysis of Variance Chapter 13: Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient Chapter 14: Predicting Who'll Win the Super Bowl: Using Linear Regression Chapter 15: What to Do When You're Not Normal: Chi-Square and Some Other Nonparametric Tests Chapter 16: Just the Truth: An Introduction Understanding Reliability and Validity Chapter 17: Some Other (Important) Statistical Procedures You Should Know About Chapter 18: A Statistical Software Sampler

Part V: Ten Things You'll Want to Know and Remember

Chapter 19: The Ten Best Internet Sites for Statistics Stuff Chapter 20: The Ten Commandments of Data Collection Appendix A: SPSS in Less Than 30 Minutes Appendix B: Tables Appendix C: About the Data Sets Glossary Index About the Author

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